Practical Mathematical Optimization
An Introduction to Basic Optimization Theory and Classical and New Gradient-Based Algorithms
(Sprache: Englisch)
This book presents basic optimization principles and gradient-based algorithms to a general audience, in a brief and easy-to-read form. It enables professionals to apply optimization theory to engineering, physics, chemistry, or business economics.
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Klappentext zu „Practical Mathematical Optimization “
This book presents basic optimization principles and gradient-based algorithms to a general audience, in a brief and easy-to-read form. It enables professionals to apply optimization theory to engineering, physics, chemistry, or business economics.
Inhaltsverzeichnis zu „Practical Mathematical Optimization “
PrefaceTable of Notation Chapter 1. IntroductionChapter 2. Line Search Descent Methods for Unconstrained MinimizationChapter 3. Standard Methods for Constrained OptimizationChapter 4. New Gradient-Based Trajectory and Approximation MethodsChapter 5. Example ProblemsChapter 6. Some TheoremsChapter 7. The Simplex Method for Linear Programming Problems BibliographyIndex
Bibliographische Angaben
- Autor: Jan Snyman
- 2006, Corr. pr., 258 Seiten, Maße: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Verlag: Springer
- ISBN-10: 038729824X
- ISBN-13: 9780387298245
- Erscheinungsdatum: 29.11.2005
Sprache:
Englisch
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